MKMary Pat Knadler

Mary Pat Knadler

*This is an algorithmically generated author record based on publicly available information.

Mary Pat Knadler has a total of 24 co-authors. Here are the top co-authors by number of shared publications:

  • Amanda Long

    Eli Lilly (United States), Indianapolis, United States

    1 shared publication
  • Angela Siesky

    Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA

    1 shared publication
  • Anthony T. Murphy

    Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana

    1 shared publication
  • Bernice B. Ellis

    Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana

    1 shared publication
  • Christopher J. H. Porter

    Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, Victoria, 3052, Australia

    1 shared publication
  • David P. Walling

    CenExel—Collaborative Neuroscience Research, Los Alamitos, USA

    1 shared publication

Latest Publications

  • Open Access

    Addition of 20-kDa PEG to Insulin Lispro Alters Absorption and Decreases Clearance in Animals

    by Mary Pat Knadler, Tri-Hung Nguyen, Kristina Campanale, Michael J. De Veer, John M. Beals, Shun Li, Ryan Hansen, Angela Siesky, M. Dodson Michael, Christopher J. H. Porter

    Determine the pharmacokinetics of insulin peglispro (BIL) in 5/6-nephrectomized rats and study the absorption in lymph duct cannulated (LDC) sheep.


  • Open Access

    Disposition of Basal Insulin Peglispro Compared with 20-kDa Polyethylene Glycol in Rats Following a Single Intravenous or Subcutaneous Dose

    by Mary Pat Knadler, Bernice B. Ellis, Patricia L. Brown-Augsburger, Anthony T. Murphy, Jennifer A. Martin, Victor J. Wroblewski

    Basal insulin peglispro (BIL) comprises insulin lispro covalently bound to a 20-kDa polyethylene glycol (PEG) at lysine B28. The biologic fate of BIL and unconjugated PEG were examined in rats given a single 0.5-mg/kg i.v. or 2-mg/kg s.c. dose of BIL with (14)C label in 20-kDa PEG or (125)I label in lispro. Unconjugated (14)C-labeled 20-kDa PEG was dosed at 10 mg/kg i.v. or s.c. Blood, urine, and feces were collected up to 336 hours after dosing. Radioactivity was measured by scintillation spectrometry, and BIL was quantitated by enzyme-linked immunosorbent assay. Area under the curve and half-life for immunoreactive BIL were lower than those for both (14)C and (125)I after subcutaneous and intravenous administration. The half-lives of (14)C after BIL and PEG dosing were similar. The clearance of immunoreactive BIL was 2.4-fold faster than that of (14)C and 1.6-fold faster than (125)I. After a subcutaneous dose of BIL, immunoreactive BIL accounted for 31% of the circulating (125)I and 16% of the circulating (14)C, indicating extensive catabolism of BIL. Subcutaneous bioavailability of BIL was 23%-29%; bioavailability for unconjugated PEG was 78%. For unconjugated PEG, most of the (14)C dose was recovered in urine. For BIL, ≥86% of (125)I was eliminated in urine and (14)C was eliminated about equally in urine and feces. The major (14)C-labeled catabolism product of BIL in urine was 20-kDa PEG with lysine attached. The attachment of 20-kDa PEG to lispro in BIL led to a different elimination pathway for PEG compared with unconjugated 20-kDa PEG.


  • Effect of pomaglumetad methionil on the QT interval in subjects with schizophrenia

    by Wei Zhang, Malcolm I. Mitchell, Mary Pat Knadler, Amanda Long, Jennifer Witcher, David Walling, William Annes, Mosun Ayan-Oshodi

    This thorough QT/QTc (TQT) study assessed the effects of a supratherapeutic dose of pomaglumetad methionil, a potential treatment for schizophrenia, compared to placebo on the QT interval in subjects with schizophrenia. This double-blind, 3-period crossover study enrolled 86 subjects aged 22 - 63 years, who met Diagnostic and Statistical Manual, Fourth Edition, Test Revision (DSM-IV-TR) criteria for schizophrenia; 78 subjects completed the study. Subjects were randomly assigned to sequences of 3 treatment periods of single oral doses of pomaglumetad methionil 400 mg, moxifloxacin 400 mg, and placebo. Quadruplicate electrocardiograms (ECGs) were extracted from 2 hours predose to 12 hours postdose and were overread by a blinded central reader. Time-matched pharmacokinetic (PK) parameters were assessed. At all-time points, the upper bound of the 90% 2-sided confidence interval (CI) for the least squares (LS) mean difference in changes from baseline in Fridericia's corrected QT interval (ΔQTcF) between pomaglumetad methionil and placebo was < 10 milliseconds (msec). Sufficient assay sensitivity was not achieved, likely due to food effect; although the maximum observed drug concentration (Cmax) with moxifloxacin (1,410 ng/mL) was lower than expected, the slope of the regression line of moxifloxacin plasma concentrations versus placebo-subtracted ΔQTcF was similar to that reported in the literature. A single supratherapeutic dose of 400 mg pomaglumetad methionil did not prolong QTcF to a clinically significant degree and, importantly, did not result in any absolute QTcF > 450 msec or increase in QTcF from predose > 30 msec.


  • Duloxetine

    by Mary Pat Knadler, Evelyn Lobo, Jill Chappell, Richard Bergstrom

    Duloxetine, a potent reuptake inhibitor of serotonin (5-HT) and norepinephrine, is effective for the treatment of major depressive disorder, diabetic neuropathic pain, stress urinary incontinence, generalized anxiety disorder and fibromyalgia. Duloxetine achieves a maximum plasma concentration (Cmax) of approximately 47ng/mL (40 mg twice-daily dosing) to 110ng/mL (80 mg twice-daily dosing) approximately 6 hours after dosing. The elimination half-life of duloxetine is approximately 10–12 hours and the volume of distribution is approximately 1640 L. The goal of this paper is to provide a review of the literature on intrinsic and extrinsic factors that may impact the pharmacokinetics of duloxetine with a focus on concomitant medications and their clinical implications. Patient demographic characteristics found to influence the pharmacokinetics of duloxetine include sex, smoking status, age, ethnicity, cytochrome P450 (CYP) 2D6 genotype, hepatic function and renal function. Of these, only impaired hepatic function or severely impaired renal function warrant specific warnings or dose recommendations. Pharmacokinetic results from drug interaction studies show that activated charcoal decreases duloxetine exposure, and that CYP1A2 inhibition increases duloxetine exposure to a clinically significant degree. Specifically, following oral administration in the presence of fluvoxamine, the area under the plasma concentration-time curve and Cmax of duloxetine significantly increased by 460% (90% CI 359, 584) and 141% (90% CI 93, 200), respectively. In addition, smoking is associated with a 30% decrease in duloxetine concentration. The exposure of duloxetine with CYP2D6 inhibitors or in CYP2D6 poor metabolizers is increased to a lesser extent than that observed with CYP1A2 inhibition and does not require a dose adjustment. In addition, duloxetine increases the exposure of drugs that are metabolized by CYP2D6, but not CYP1A2. Pharmacodynamic study results indicate that duloxetine may enhance the effects of benzodiazepines, but not alcohol or warfarin. An increase in gastric pH produced by histamine H2-receptor antagonists or antacids did not impact the absorption of duloxetine. While duloxetine is generally well tolerated, it is important to be knowledgeable about the potential for pharmacokinetic interactions between duloxetine and drugs that inhibit CYP1A2 or drugs that are metabolized by CYP2D6 enzymes.